Senior AI/ML Engineer

Role: Senior AI/ML Engineer

Location: Hyderabad, Telangana

Budget: 18 - 20 LPA

Industry: Healthcare

Work mode: 5 days WFO, Full-time

About company:

Our client is a leading provider of revenue cycle management solutions for ambulatory surgery centers (ASCs), surgical clinics, surgical hospitals, and anesthesia groups. Our tech-enabled solutions allow surgical organizations to streamline their revenue cycle processes, reduce administrative burden, and improve financial outcomes. Join over 1,100 surgical organizations that trust our client and its advisors to bring deep insights and actionable intelligence to maximize their revenue cycle.

Role Description:

Design, build, and run machine learning systems that make healthcare revenue operations faster, more accurate, and less manual. You will work closely with our existing AI team and partner functions to turn data into reliable automation and decision support. Your work will reduce preventable denials, shorten turnaround times, improve first pass yield, and lower the cost to collect. You will help set the standards for how we use AI across the company.

Roles & responsibilities:

• Turn business problems into ML solutions with clear goals and success metrics
• Build, deploy, and operate ML services used by internal teams and clients
• Set up automated tests and dashboards that track quality, speed, cost, and drift, with clear rollback criteria
• Work with data engineering to prepare clean, well-documented datasets from claims, remits, eligibility, status, and operational logs
• Collaborate daily with the existing AI team, product managers, and platform engineers to land models in real workflows with privacy and audit controls
• Write clear documentation, playbooks, and handoffs so others can run and extend your work
• Mentor engineers and analysts, and contribute to hiring as the practice grows
• Build and refine NLP pipelines for document analysis, OCR, and entity extraction
• Work closely with cross-functional teams (Product, Frontend, QA) to align AI/ML solutions with business goals
• Mentor junior engineers in best practices for model design, coding, and MLOps

Qualification:

• 5 plus years of ML engineering with models serving real users
• Strong Python and SQL and hands-on experience with a major ML framework
• Practical MLOps skills such as pipelines, versioning, monitoring, alerts, and safe releases in a public cloud
• Experience turning messy operational data into features. Healthcare or RCM exposure is a plus
• Clear communication and a habit of shipping and measuring impact

Nice to have

• NLP on clinical or operational text, or experience with speech post-processing
• Retrieval augmented systems that combine search with ML or LLMs
• Familiarity with modern lakehouse and BI semantic layers and working with regulated data
• Experience with OCR libraries (Tesseract, AWS Textract) or advanced document processing